Research Scientist, Takeoff Intel

Overview

Research Scientist focused on measuring and understanding recursive-self-improvement in large models, using evaluation and telemetry to determine what to measure and interpret results for research progress.

What you'll do

• Identify signals that track AI R&D acceleration and design evaluations to measure them.
• Build quantitative models of capability growth and self-improvement dynamics from evaluation and telemetry data.
• Run experiments and evaluations to test hypotheses about automation and capability.
• Make research bets and own outcomes.
• Write graded assessments of measurement results for internal decision-makers and public reporting.
• Collaborate with pretraining, RL, economic research, and policy teams.

What you'll need

• Hands-on research experience on large models (pretraining, fine-tuning, RL, evals, or agent systems).
• Strong quantitative instincts and comfort with quantitative modeling and reasoning.
• Experience in forecasting, including published AI forecasting scenarios.
• Ability to design an evaluation from a vague question and defend the methodology.
• Clear communication with calibrated confidence and an explanation of what would change conclusions.
• Motivation by impact, including producing graded assessments and system-card sections.

Details

• Employment level is open for junior and senior researchers.
• Annual compensation range: $350,000–$850,000 USD.
• Hybrid policy expects staff in offices at least 25% of the time.
• Visa sponsorship is available, with reasonable efforts depending on the role and candidate.
• Minimum education: Bachelor’s degree or equivalent combination of education, training, and/or experience.